Skip to main content

Topics in Applied Mathematics (5cr)

Code: TE00CE13-3018

General information


Enrollment
30.05.2025 - 15.09.2025
Registration for the implementation has ended.
Timing
02.09.2025 - 19.12.2025
Implementation is running.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
English
Seats
40 - 80
Degree programmes
Degree Programme in Information and Communications Technology
Teachers
Hazem Al-Bermanei
Groups
PINFOK24A
PINFOK24A
PINFOK24B
PINFOK24B
PINFOS24C
PINFOS24C
Course
TE00CE13

Realization has 28 reservations. Total duration of reservations is 56 h 0 min.

Time Topic Location
Mon 01.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_1002 Moriaberg esitystila byod
Fri 05.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B1026_Gamma GAMMA
Mon 08.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_1001 Dromberg esitystila byod
Wed 10.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1035_Delta DELTA
Mon 15.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_3026_3027 Oppimistila avo byod
Thu 18.09.2025 time 08:00 - 10:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1035_Delta DELTA
Mon 22.09.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1027_Lambda LAMBDA
Thu 25.09.2025 time 13:00 - 15:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1042_Myy MYY
Mon 29.09.2025 time 08:00 - 10:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1027_Lambda LAMBDA
Thu 02.10.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_2001 Elias muunto byod
Mon 06.10.2025 time 10:00 - 12:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_1001 Dromberg esitystila byod
Thu 09.10.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1042_Myy MYY
Tue 21.10.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1032 Demotila
Fri 24.10.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_1001 Dromberg esitystila byod
Mon 27.10.2025 time 08:00 - 10:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_2067 Oppimistila avo muunto byod
Thu 30.10.2025 time 14:00 - 16:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C2033_2034 Oppimistila muunto
Thu 06.11.2025 time 08:00 - 10:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C2033_2034 Oppimistila muunto
Thu 06.11.2025 time 10:00 - 12:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
EDU_2030 Evert muunto byod
Thu 13.11.2025 time 10:00 - 12:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B2026 Oppimistila muunto
Fri 14.11.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C1042_Myy MYY
Mon 17.11.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C2033_2034 Oppimistila muunto
Thu 20.11.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B1041_Omega OMEGA
Mon 24.11.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B1041_Omega OMEGA
Fri 28.11.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B2026 Oppimistila muunto
Mon 01.12.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_C2033_2034 Oppimistila muunto
Thu 04.12.2025 time 10:00 - 12:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B1026_Gamma GAMMA
Mon 08.12.2025 time 12:00 - 14:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B2026 Oppimistila muunto
Fri 12.12.2025 time 11:00 - 13:00
(2 h 0 min)
Topics in Applied Mathematics TE00CE13-3018
ICT_B1041_Omega OMEGA
Changes to reservations may be possible.

Evaluation scale

H-5

Content scheduling

PART1
1. Logic
2. Combinatorics
3. Permutations
4. Combinations
5. Divisibility
6. Euclidean algorithm
7. Congruence
8. Residue class ring
9. Hash functions and RSA
PART 2
10. Sequence
11. Sum
12. Series
13. Recursive equation
14. Graph theory

Objective

After completing the course the student can
- apply logical rules and notation
- compute and apply permutations and combinations
- apply the concepts and properties of divisibility and congruence
- process arithmetic and geometric sequences and sums
- calculate the sum of a converging infinite geometric series
- form Taylor polynomials and utilize them in numerical computation
- determine coefficients for Fourier-series expansions using mathematical computation tools

Content

- Fundamentals of logic
- Basics od number theory with applications
- Basics of combinatorics with applications
- Sequences and series
- Taylor series
- Fourier series

Materials

All course materials will be published in Itslearning.

Teaching methods

Part 1, Logic, combinatorics and number theory:
lectures, homework, self-study, exam

Part 2, •:
lectures, homework sessions, self-study, exam

Exam schedules

Assessment Schedule

Midterm Exam – Part 1: 28 October 2025
First Retake: 4 November 2025

Midterm Exam – Part 2: 16 December 2025
First Retake: (Date listed as 2025 — please verify and update if needed)

Final Retake Exam (for both parts): 13 January 2026
Exact times for all exams will be published in the official schedule.

Important:
Homework and exercises must be submitted by the specified deadlines. Late submissions will not be accepted, and there are no options to make up or retake missed tasks.

Student workload

Part 1:
Intro 1h
Lectures 9*2h
Exam 2h
Self-study (homework, preparing for exams etc.) ~46h.

Part 2:
Lectures 5*2h
Homework sessions 5*2h (Mandatory attendance)
Exam 2h
Self-study (homework, preparing for exams etc.) ~46h.

Evaluation methods and criteria

Achieve at least 50% of the points in both Midterm exams or retakes.
Submit at least 30% of the exercises is mandatory to pass the course.

Additional points from homework will improve your grade.

Failed (0)

Less than 50% of the points in one or both of the Midterm exams or retakes.
Unauthorized non-attendance exceeds 30% of homework sessions.

The student has not demonstrated sufficient achievement of the course learning objectives. They recognize and apply only a limited number of course concepts and lack the necessary skills to implement them effectively.

Additionally, the course will be failed if any instance of academic misconduct is detected. The first occurrence—whether misconduct or an attempt—will result in the rejection of the affected exam or assignment. A second offense will lead to failure of the entire course.

Assessment criteria, satisfactory (1-2)

Student has demonstrated having achieved the learning objectives of the course on satisfactory level. They recognize and can to some extent use most of the concepts of the course topics.

Assessment criteria, good (3-4)

Student has demonstrated having achieved the learning objectives of the course well.
They recognize and can use most of the concepts of the course topics, and are able to apply them on various study and work contexts.

Assessment criteria, excellent (5)

Student has demonstrated having achieved the learning objectives of the course on excellent level. They master the concepts of the course topics, and are able to fluently apply them on study and work contexts.

Qualifications

Previous mathematics courses of ICT engineering curriculum (or equivalent skills):
Introduction to Engineering Mathematics
Calculus

Further information

Itslearning and email

Go back to top of page